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于洪霞,杨成祥,赵庆杞,等. 谷电相变电蓄热供暖分工况变论域模糊比例、积分、微分自适应前馈补偿控制[J]. 科学技术与工程, 2019, 19(35): 241-247.
YU Hong-xia,YANG Cheng-xiang,ZHAO Qing-qi,et al.Division of Working Variable Domain Fuzzy PID Adaptive Feed Forward Compensation Control for Ebb Electric Phase Change Heat Storage and Heating[J].Science Technology and Engineering,2019,19(35):241-247.
谷电相变电蓄热供暖分工况变论域模糊比例、积分、微分自适应前馈补偿控制
Division of Working Variable Domain Fuzzy PID Adaptive Feed Forward Compensation Control for Ebb Electric Phase Change Heat Storage and Heating
投稿时间:2019-05-24  修订日期:2019-07-21
DOI:
中文关键词:  谷电蓄热供暖  分工况  自适应前馈  变论域模糊PID
英文关键词:ebb  electric heat  storage division  of working  adaptive feed  forward variable  domain fuzzy  PID
基金项目:国家电网公司科技项目(2017YF-12)
           
作者单位
于洪霞 沈阳工业大学 信息科学与工程学院
杨成祥 沈阳工业大学 信息科学与工程学院
赵庆杞 国网辽宁省电力有限公司
邢作霞 沈阳工业大学 电气工程学院
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中文摘要:
      针对谷电相变电蓄热供暖系统,有谷电时间段既蓄热又放热供暖和非谷电时间段单纯放热供暖两种不同的工况,不同的工况系统参数变化较大的特点,设计了分工况的变论域模糊PID控制器,根据不同工况选择对应的控制器且其论域伸缩因子自适应调整;考虑到供暖过程中蓄热炉炉温的变化,把不断变化的蓄热炉炉温作为可测干扰,设计了自适应前馈补偿控制器对变论域模糊PID控制器的输出控制量进行补偿,通过实时辨识供暖系统模型,实现前馈补偿控制器参数的自适应调整。实验结果表明:所提出的控制方法能够在不同工况下实现对期望供暖出水温度的实时跟踪,显著的减小了供暖出水温度误差,提高了供暖可靠性。
英文摘要:
      The ebb electricity phase change heat storage and heating system has two different working conditions: using ebb electricity heating for heat storage, at the same time the furnace is used for heating, and the non-ebb electricity period is only for heating. Aiming at the problem of large variation of system parameters in different working conditions, the variable domain fuzzy PID controller with different working conditions was designed and selected the corresponding controller according to different working conditions. The domain expansion factor of fuzzy PID controller under different working conditions was adaptively adjusted. Considering the change of the furnace temperature in the heating process, the furnace temperature was taken as the measurable interference and an adaptive feed forward compensation controller was designed to compensate the output of the variable domain fuzzy PID controller. The adaptive adjustment of feed forward compensation controller parameters was realized by identifying the heating system model in real time. The experimental results show that the proposed control method can realize the real-time tracking of the expected heating temperature under different working conditions, significantly reduce the temperature error of the heating effluent and improve the heating reliability.
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